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Ripple-65B Preview LLM offers 2M context window with hybrid attention

By PulseAugur Editorial · [1 sources] ·

A new coding-focused LLM, Ripple-65B Preview, boasts a two-million-token context window, achieved through a hybrid attention mechanism. This architecture utilizes sliding attention for most layers, allowing for efficient processing of large contexts, while a smaller portion handles full attention for generation. Benchmarks on consumer hardware like RTX 3090s show ingestion speeds of over 1,000 tokens per second, but generation remains significantly slower, around 20 tokens per second. This asymmetry makes the model suitable for tasks involving large context ingestion, like overnight batch processing, rather than rapid, interactive generation. AI

IMPACT The hybrid attention architecture could influence future LLM designs, balancing context window size with generation speed for specific use cases.

RANK_REASON The item details a specific model's architecture and performance benchmarks, including technical specifications and hardware requirements. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ripple-65B Preview LLM offers 2M context window with hybrid attention

How we ranked this

Signal score
23 / 100
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Tool
The item details a specific model's architecture and performance benchmarks, including technical specifications and hardware requirements. [lever_c_demoted from research: ic=1 ai=1.0]
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · prodbymarcu ·

    Hybrid attention buys cheap reading and expensive writing

    <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fslr9x198ml2wzrne3bg6.png"><img alt="cover" height="4…

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